Obstetrics & Gynecology

Applications of Large Language Models in Ovarian Cancer Management: Protocol for a Systematic Review and Meta-Analysis.

BACKGROUND: Ovarian cancer (OC) is a highly fatal gynecologic malignancy with complex management challenges and limited long-term survival for advanced stages. Large language models (LLMs)-including systems such as GPT-4, Claude, Google Gemini, and others-are emerging artificial intelligence (AI) tools capable of performing health care-related tasks such as diagnostic support, treatment planning, ...

Antibody-drug conjugates in selected solid tumours: a position statement update based on findings from the third workshop held by the ETOP IBCSG Partners Foundation.

The European Thoracic Oncology Platform (ETOP) International Breast Cancer Study Group (IBCSG) Partners Foundation initiated a series of workshops for experts to review current evidence and offer recommendations to guide future antibody-drug conjugate (ADC) research. Here, we summarise key findings from the third workshop, which included experts in various solid tumours, basic/translational resear...

Chronic Heat Exposure and Perceptual Reasoning in Preschool-Aged Children: Robust Estimation, Effect Modification and Period-Specific Analysis.

BACKGROUND: Emerging evidence links chronic heat exposure to impaired neurodevelopment, yet research on higher-order cognitive domains remains limited...

Air pollution and autism-like traits: sensitive periods and joint effects of exposure to sources and constituents of fine particulate matter.

Growing evidence suggests that exposure to air pollution during early life is associated with autism spectrum disorder (ASD). However, results have be...

Predicting antenatal care dropout using machine learning and describing maternal and neonatal outcomes by dropout status in Sidama Region, Ethiopia: a retrospective cohort study.

OBJECTIVES: We aimed to develop and validate machine-learning models to predict antenatal care (ANC) dropout and describe maternal and neonatal outcom...

Development of a machine learning-based model for predicting adverse pregnancy outcomes in women with polycystic ovary syndrome (PCOS): a retrospective observational study protocol.

INTRODUCTION: Polycystic ovary syndrome (PCOS) is a prevalent endocrine condition in reproductive-aged women, which is associated with adverse materna...

AI-Based Analysis of Tumor-Infiltrating Lymphocytes and Homologous Recombination in Ovarian Cancer: JGOG3025-A1 Study.

Understanding the tumor immune microenvironment, especially tumor-infiltrating lymphocytes (TILs), remains crucial in ovarian cancer. However, the dis...

Application of plant viruses in biotechnology with relation to artificial intelligence, machine learning, and nanotechnology.

Plant viruses, once viewed as harmful agricultural pathogens, are now powerful tools in biotechnology. Their nanoscale structure, self-assembly, and b...

Effects of a generative AI-assisted ADPIE Framework on critical thinking, learning self-efficacy, and clinical reasoning in nursing education: a quasi-experimental study.

BACKGROUND: The nursing process is a systematic, patient-centered framework essential for clinical reasoning and decision-making in nursing education....

Epigenetic editing approaches maturity: AI-driven precision design, delivery innovation, and the road to clinical translation.

Epigenetic editing achieves durable gene silencing through targeted modification of chromatin and DNA methylation states without altering the genomic ...

Genomic profiling as an option for ovarian cancer diagnostics.

INTRODUCTION: Ovarian cancer (OC) is a highly heterogeneous and lethal gynecological malignancy. Precision oncology has shifted the management paradig...

Development of a prediction model for recurrence in patients with malignant ovarian germ cell tumors undergoing fertility-sparing surgery: A multicenter retrospective study.

OBJECTIVE: To investigate the clinical characteristics associated with recurrence in malignant ovarian germ cell tumors (MOGCT) patients who received ...

A Review of microRNAs in the Post-transcriptional Regulation and its Clinical Manifestation in the Polycystic Ovary Syndrome.

MicroRNAs (miRNAs) are single stranded, short, non-coding, and highly conserved RNA molecules with around 22 nucleotides. They regulate gene expressio...

On the road to fully automated insulin delivery: A systematic review of meal announcement free algorithms.

Fully automated insulin delivery (FAID) systems aim to regulate blood glucose levels in individuals with type 1 diabetes with minimal user input. A ke...

Heterogeneous wealth-related differences in modern contraceptive use in Bangladesh: a machine learning-based g-computation analysis of the DHS 2022 cross-sectional survey.

BACKGROUND: Conventional logistic regression estimates a single population-average odds ratio (OR), masking heterogeneity in how social determinants a...

Multi-regional radiomics based on planning CT and information complementarity between GTVp and GTVn: an explainable model for predicting 5-year recurrence risk in HPV-positive oropharyngeal cancer.

PURPOSE: This study aims to develop and validate a multi-regional radiomics machine learning model integrating the spatial heterogeneity features of b...

Nanotechnology in reproductive medicine: from gamete engineering to precision therapeutics.

Infertility represents a significant global health burden, necessitating advanced therapeutic interventions. While Assisted Reproductive Technologies ...

Unveiling the identification of the genetic features and biological characteristics shared between cervical cancer and venous thromboembolism.

OBJECTIVE: The association between cervical cancer (CC) and venous thromboembolism (VTE) has been well documented, but the underlying molecular charac...

The rise of medical autonomous care, a paradigmatic turning point for military and civilian delivery of health care.

RATIONALE: Resource-limited or austere environments represent a direct threat to the likelihood of survival of patients in need of emergent care. Medi...

MRI-Only Simulation for Prostate MRI-Guided SBRT.

PURPOSE: The SMART (Stereotactic MR-Guided Adaptive Radiation Therapy) protocol for prostate SBRT has demonstrated favorable clinical outcomes using a...